摘要
合成孔径雷达(SAR)海洋遥感仿真是面向海洋应用的SAR系统设计的重要分析工具,同时也可以为复杂海洋现象SAR图像的检测、识别提供训练样本,为海洋参数反演提供正演模型,因此在SAR海洋遥感的SAR系统设计和应用中扮演着非常重要的角色。海面的运动特性、时变特性、去相干特性使得SAR海洋遥感的仿真难度和计算量要远远大于陆地固定目标的仿真,如何在保证仿真精度的情况下提升仿真效率是实现SAR海洋成像高精度、高效率仿真的关键。该文介绍了动态海面SAR成像仿真的主要方法以及发展现状和主要问题,给出了动态海面SAR成像高精度仿真中若干关键问题的实现方法,该仿真方法在保证较高的逼真度情况下(典型工况下仿真SAR图像谱谱峰误差3%,谱宽误差4%),能在10分钟内完成4 m分辨率情况下400 km^(2)场景的仿真。实现并介绍了动态海面SAR成像仿真在波浪谱反演、基于深度对消网络的海浪纹理抑制以及基于Wake2Wake网络的舰船尾迹检测方面的典型应用。这些应用案例一方面验证了该文给出的动态海面SAR成像高精度仿真的逼真度能够达到智能化仿真训练的要求,另一方面也说明了高精度仿真在SAR海洋图像智能化应用有很好的前景,可以成为解决SAR海洋遥感智能化应用中样本数据瓶颈的重要手段。
Synthetic Aperture Radar(SAR)ocean remote sensing simulation is an important analytical tool for designing SAR systems for ocean applications.It can also provide training samples for detecting and recognizing SAR images of complex ocean phenomena.Therefore,it plays an important role in the design and application of SAR ocean remote sensing systems.The motion,time-varying,and decoherence characteristics of the sea surface caused the simulation difficulty and calculation amount of SAR ocean remote sensing to be much larger than those of fixed land targets.Therefore,improving the simulation efficiency while ensuring the simulation accuracy is key to achieving high-precision and high-efficiency simulation of SAR ocean imaging.This study introduces the main methods,development status,and main problems of dynamic ocean SAR imaging simulation and provides methods for realizing key problems in high-precision simulation of dynamic ocean SAR imaging.The method can complete the simulation of a 4 m resolution at a 400 km^(2) scene within 10 min while ensuring high fidelity.Under typical working conditions,the spectral peak error of a simulated SAR image is 3%,and the spectral width error is 4%.The typical applications of dynamic ocean surface SAR imaging simulation in wave spectrum inversion,wave texture suppression based on depth cancellation networks,and ship wake detection based on the Wake2Wake network are introduced.On the one hand,these applications verify that the fidelity of the high-precision simulation of dynamic sea SAR imaging presented in this study can satisfy the requirements of intelligent simulation training.On the other hand,the high-precision simulation offers a good prospect for intelligent application of SAR ocean images and can be an important method for providing samples for intelligent application of SAR ocean remote sensing.
作者
王小青
祁瑞
姚晓楠
徐诚极
晁小朋
WANG Xiaoqing;QI Rui;YAO Xiaonan;XU Chengji;CHAO Xiaopeng(School of Electronic and Communication Engineering,Sun Yat-sen University,Shenzhen 518107,China;School of Systems Science and Engineering,Sun Yat-sen University,Guangzhou 510275,China;Information Science and Technology College,Dalian Maritime University,Dalian 116026,China)
出处
《雷达学报(中英文)》
北大核心
2025年第3期712-734,共23页
Journal of Radars
基金
国家重点研发计划(2023YFB3904905)。
